Real-time alphabet recognition
A custom pose-keypoint Transformer model (Keras) recognizes Urdu and English alphabet signs from the webcam in real time, with a language model reranking predictions — 'spell words with your hands.'
AI & EdTech
An AI education platform built by our team that gives deaf children in Pakistan a way to learn — and be understood. Real-time sign recognition through the camera, a 3D signing avatar, and a bilingual English/Urdu curriculum designed for kids aged 4–10.

Pakistan has one of the world's largest deaf communities, yet Pakistan Sign Language (PSL) resources for children are scarce. SignLearn was built to close that gap: a playful, bilingual learning platform where every child "deserves a voice."
The platform combines a custom-trained AI recognition model with an animated signing avatar named Hashi. Children practice signing letters in front of the camera and get instant feedback; typed or spoken phrases are played back as animated sign language — both directions of the conversation, covered.
Privacy is designed in, not bolted on: camera frames are processed in real time and never stored, and the whole experience is built to child-safety standards with parent and instructor oversight baked into the product.
A custom pose-keypoint Transformer model (Keras) recognizes Urdu and English alphabet signs from the webcam in real time, with a language model reranking predictions — 'spell words with your hands.'
Spoken or typed phrases are animated as sign language by Hashi, the 3D signing avatar — powered by SiGML sign-notation sequencing running entirely in the browser.
A structured lesson library over real PSL video clips — greetings, family, numbers, emotions, alphabets — with XP, streaks, levels, and quizzes in tandem English/Urdu throughout.
Instructors build lessons, review community-contributed signs, and track class performance; parents follow each child's progress, practice minutes, and weekly summaries.
Bilingual screen-reader support with RTL Urdu, ARIA live announcements for webcam events, reduced-motion support, and kid-friendly feedback in both languages.




Let’s turn it into a reliable, scalable software system.